Research + corpus-building uses. Benchmarks don’t count.
The drawers
A tool can be filed in more than one drawer
DRAWER I
AI & History
Machine learning, vision-language models and speech models. Every card here carries notes on where your sources go, how it was tested, and how it fails.
Guide cards
Counts research and corpus-building uses in the window, plus “I’m using this now” check-ins. Benchmarks don’t count.
tool · No. 014AI
Transkribus
Upload scans of handwritten or printed documents and get transcriptions back, using public models or one you train on your own transcribed pages.
At a glance
Maker
READ-COOP (European cooperative)
Released
2015
Licence
Proprietary
Cost
Free tier (50 credits/month); Scholar €99/yr; about 1 credit per page
Runs
Browser (EU cloud); API; on-premises for institutions
Skill
No code
Historian’s notes
Where your sources goStored on READ-COOP servers in Austria. You keep ownership, but the terms let READ-COOP use your content to improve its services.
How it’s been testedA 2022 review covers 381 publications using it. Error rates of about 4% on retrained Ottoman Turkish periodicals.
Known problems on historical sourcesAccuracy drops on names, abbreviations, Latin and marginalia. A 12.7% error model was judged unusable without correction. Models trained on one source transfer unevenly.
Used in research0
No published research uses found yet. Using it in a project? Tell us.
Nobody has said they’re using it in 2026 yet.
“I’m using this now” asks you to sign in with ORCID.
One count per person per year; it adds to Trending, and names are never shown.